Beyond the Numbers: From Data to Decisions in Land-Use, Infrastructure & Housing
- Felix Kariba
- Aug 24
- 5 min read
Updated: Aug 24
Data alone is noise. Strategy is the signal you extract from that noise and act on. For Kenya — where constitutional environmental duties meet a new generation of digital land systems and green finance rules — the difference between “data” and “decision” is often the difference between a viable development and a stalled, litigated, or loss-making project.
This essay ties the legal, technical and financial pieces together so planners, developers and county teams can stop collecting dashboards and start running decisions — defensibly, quickly and in line with law and international best practice.
The legal & policy scaffolding you must build on (short & authoritative)
Kenya already has the statutory architecture that makes data-driven planning not optional but mandatory:
Physical and Land Use Planning Act (PLUPA, 2019) — establishes plan hierarchies (national → inter-county → county → local), development permission rules and enforcement. Use it as your decision framework.
National Spatial Plan (NSP 2015–2045) — the country’s spatial policy that should anchor long-range infrastructure and settlement choices. Projects that don’t map to NSP priorities struggle for coherent funding and coordination.
National Building Code (2024) — stricter siting, safety and inspection rules that change how projects stage approvals and close-out.
Climate Change Act (2016) and Amendment (2023) + National Climate Action Plans — require climate mainstreaming across sectoral and spatial plans, and create instruments that can be used for adaptation finance.
Data Protection Act (2019) — governs personal data from household surveys, participatory mapping and sensor networks; consent, minimisation and DPIAs matter.
Survey Act & licensed surveyor regime — legal proof of boundaries and plans depend on certified surveys (drones ≠ title).
Public Investment Management (PIM) rules & Treasury guidance — public projects must pass appraisal and value-for-money gates; data feeds the PIM pipeline (feasibility → appraisal → tender → monitoring).
If your data and analytics do not align to these legal anchors, they will be interesting but practically useless.

What “data” actually is — and why type matters
Too many teams treat “data” as one stack. It isn’t. Useful planning combines:
Authoritative cadastral & survey data — legal parcel fabric, servitudes, and GNSS control (Survey Act). This is the single most legally sensitive layer.
Geospatial basemaps & remote sensing — orthomosaics, satellite imagery, DEM/LiDAR for slopes, drainage and change detection (NSDI/IGIF principles govern reuse and standards).
Administrative & infrastructure data — utility networks, road hierarchy, land titles (Ardhisasa & county registries are turning these digital).
Socio-economic & service data — household surveys, demand modelling, utility usage and market data (respecting Data Protection law).
Environmental & hazard layers — floodplains, wetlands, biodiversity, climate projections (NCCAP/NAP inputs).
Real-time sensors & construction telemetry — structure monitoring, water levels, traffic counters (for large infra and monitoring).
Finance & market metrics — land values, lending appetite, KGFT / green taxonomy eligibility, PIM cost/benefit inputs.
A strategy maps which decision uses which layer and who certifies it.
From data to strategy — a usable pipeline
Here’s a pragmatic pipeline you can adopt for any land-use, infrastructure or housing project.
Legal scoping (Day 0). Which approvals are needed (PLUPA permits, EIA/SEA, building permits, survey certs)? Which law defines evidentiary standards? (PLUPA, Survey Act, EMCA, National Building Code). Tag each required output to the dataset that will support it.
Provenance & control. Establish geodetic tie-ins and provenance records. Every map used for a regulatory claim must include: who captured it, method, accuracy, date, and surveyor certification if title/subdivision actions follow. (UN-IGIF/NSDI principles.)
Risk layering. Combine climate (NCCAP/NAP), environmental (EMCA/SEA), and tenure risk (Ardhisasa/title queries) into a small set of red/amber/green rules that can stop or advance a design in a single meeting.
Decision rules & PIM alignment. Convert analysis into PIM-friendly outputs: feasibility narrative, clear OPEX/CAPEX, climate sensitivity, and a bankable cashflow. Public projects should present the same data format the Treasury expects.
Iterative design & community validation. Run participatory mapping and publish a concise “what we measured → what we recommend” pack for stakeholders (with DPIA where household data is included). Community validation reduces litigation and accelerates procurement.
Finance fit-check. Apply the Kenya Green Finance Taxonomy and lender standards (IFC Performance Standards / Equator Principles) to see if the project qualifies for concessional or institutional funding and what social safeguards are necessary.
Monitoring & digital handover. Deliver an interoperable dataset (NSDI/Ardhisasa-ready), a monitoring cadence (imagery, sensors) and an institutional handover so the county or asset owner becomes the data steward.
Tools, techniques and decision science that change outcomes
Site-readiness scoring: short, defensible metrics (cadastre clarity, servitude exposure, utility proximity, hazard score, EIA trigger). Use these to prioritise scarce capex.
Multi-Criteria Decision Analysis (MCDA): combine economic, social, environmental and governance criteria to choose sites and phasing.
Scenario-based digital twins: simulate rainfall, traffic or demand under 2035/2050 scenarios and quantify avoided damages or additional revenue under each scenario.
Cost-benefit with distributional lenses: run standard NPV but show who benefits and who is displaced — this is now expected in IFC/Equator/EP style appraisals.
Metadata & NSDI compliance: make everything findable and reusable — that single decision halves repetitive surveys and speeds approvals. (UN-IGIF and Kenya NSDI drive this.)
Practical compliance checklist (what your submission must always include)
Certified cadastral plan or surveyor declaration (Survey Act).
Planning brief mapping to NSP/PLUPA and the relevant county spatial plan (ISUDP) — show the legal consistency.
EIA/SEA scoping (if applicable) and hazard overlays (EMCA/SEA regs).
Data provenance sheet and DPIA for household/identifiable data (Data Protection Act).
Climate sensitivity statement referencing NCCAP/NAP (how the design responds to climate futures).
Finance fit summary (green taxonomy and likely lender standards: IFC/EP).
Benefits for developers, counties and financiers (short)
Faster approvals — plan-consistent, provenance-backed submissions cut rounds with Development Control.
Lower investment risk — transparent title + hazard disclosure reduces lender due diligence time and contingency buffers.
Access to green capital — taxonomy-aligned projects are more likely to attract concessional windows and cheaper capital.
Better social licence — participatory mapping and FPIC-style community validation reduce legal stoppages and reputational cost.
Common failures I see (and how to fix them)
Relying on raw imagery as a legal boundary. Fix: pair orthomosaics with licensed surveyor certification.
Collecting household GPS without consent. Fix: run a DPIA, anonymise point-level data, and publish aggregated indicators.
Not scoring climate or finance-readiness early. Fix: run a 48-hour site-readiness checklist before drilling into layouts (saves weeks).
Deliverables that counties cannot ingest. Fix: deliver NSDI-friendly formats and an onboarding session for county GIS teams (Ardhisasa + county portals).
A 90-day programme to turn your project from “data rich” to “decision ready”
Days 0–7: Legal scoping + data inventory (PLUPA triggers, EIA, survey needs).
Days 8–21: Control and provenance capture (surveyor tie-in + orthomosaic), rapid hazard overlay.
Days 22–40: Community validation, DPIA, and social safeguards plan.
Days 41–70: PIM-ready appraisal pack (CAPEX/OPEX, climate sensitivity, green taxonomy check).
Days 71–90: Submission pack (certified plans, EIA scoping note, provenance sheet) + County onboarding session and lender briefing.
The real competitive edge
Most firms collect data. The winners will be those who can prove provenance, certify legal standing, and turn that proof into a single bankable story that a county, a regulator and a financier all accept. In Kenya today, the edge is not a prettier dashboard — it’s a reproducible, law-aligned decision process: cadastral certainty + climate/readiness scoring + finance fit.
If you want to lead, stop selling maps and start selling deliverable certainty. That is the product investors pay for.
Want a ready pack we can deliver for your ongoing construction site?
We can produce, in 7 business days:
a one-page Site-Readiness Scorecard (cadastre, servitudes, hazard, EIA trigger, green-taxonomy flag),
a Provenance & Compliance Sheet (survey certs, DPIA statement, planning briefs tied to PLUPA/NSP), and
a short lender brief mapping the project to CBK’s Green Finance Taxonomy and IFC/Equator concerns.
Send: LR / Title ref, a recent deed plan, and any existing surveys or dream layouts — we’ll return the scorecard and the “what to fix now” list.



